TEXT stringlengths 55 504k | METADATA stringlengths 14 117 | SOURCE stringclasses 8
values |
|---|---|---|
Doctor Who (23 Nov, 1963; First Doctor) - An Unearthly Child
(Coal Hill School corridor)
[GIRL] Night, Miss Wright.
[BARBARA] Wait in here, please, Susan. I won't be long.
[BOY] Goodnight, Miss Wright.
---------------------------------------
(Laboratory)
[IAN] Oh? Not gone yet?
[BARBARA] Obviously not.
[... | {"show": "Doctor Who", "season": "s01", "episode": "e01", "title": "An Unearthly Child"} | drwho/jeanmidev |
Doctor Who (21 Dec, 1963; First Doctor) - The Daleks
(Tardis)
[DOCTOR] Well, I suggest before we go outside andexplore, let us clean ourselves up.
[SUSAN] Oh, yes.
[DOCTOR] Now what does the radiation read, Susan?
[SUSAN] It's reading normal, Grandfather.
---------------------------------------
(Forest)
[... | {"show": "Doctor Who", "season": "s01", "episode": "e02", "title": "The Daleks"} | drwho/jeanmidev |
"Doctor Who (8 Feb, 1964; First Doctor) - The Edge of Destruction\r\n\r\n(Tardis)\r\n[BARBARA] Miste(...TRUNCATED) | "{\"show\": \"Doctor Who\", \"season\": \"s01\", \"episode\": \"e03\", \"title\": \"The Edge of Dest(...TRUNCATED) | drwho/jeanmidev |
"Doctor Who (22 Feb, 1964; First Doctor) - Marco Polo\r\n\r\n(Snowfield)\r\n[SUSAN] Must've been mad(...TRUNCATED) | {"show": "Doctor Who", "season": "s01", "episode": "e04", "title": "Marco Polo"} | drwho/jeanmidev |
"Doctor Who (11 Apr, 1964; First Doctor) - The Keys Of Marinus\r\n\r\n(Tardis)\r\n[IAN] Any radiatio(...TRUNCATED) | "{\"show\": \"Doctor Who\", \"season\": \"s01\", \"episode\": \"e05\", \"title\": \"The Keys Of Mari(...TRUNCATED) | drwho/jeanmidev |
"Doctor Who (23 May, 1964; First Doctor) - The Aztecs\r\n\r\n(Tomb)\r\n[BARBARA] Look at that.\r\n[S(...TRUNCATED) | {"show": "Doctor Who", "season": "s01", "episode": "e06", "title": "The Aztecs"} | drwho/jeanmidev |
"Doctor Who (20 Jun, 1964; First Doctor) - The Sensorites\r\n\r\n(Tardis)\r\n[IAN] Perhaps we've lan(...TRUNCATED) | "{\"show\": \"Doctor Who\", \"season\": \"s01\", \"episode\": \"e07\", \"title\": \"The Sensorites\"(...TRUNCATED) | drwho/jeanmidev |
"Doctor Who (12 Sep, 1964; First Doctor) - Reign of Terror\r\n\r\n(Forest)\r\n(Tardis)\r\n[DOCTOR] T(...TRUNCATED) | "{\"show\": \"Doctor Who\", \"season\": \"s01\", \"episode\": \"e08\", \"title\": \"Reign of Terror\(...TRUNCATED) | drwho/jeanmidev |
"Doctor Who (30 Dec, 1972; Third Doctor) - The Three Doctors\r\n\r\n(Outside the Lodge)\r\n[MRS OLLI(...TRUNCATED) | "{\"show\": \"Doctor Who\", \"season\": \"s10\", \"episode\": \"e01\", \"title\": \"The Three Doctor(...TRUNCATED) | drwho/jeanmidev |
"Doctor Who (27 Jan, 1973; Third Doctor) - Carnival of Monsters\r\n\r\n(Space Port)\r\n[KALIK] Well,(...TRUNCATED) | "{\"show\": \"Doctor Who\", \"season\": \"s10\", \"episode\": \"e02\", \"title\": \"Carnival of Mons(...TRUNCATED) | drwho/jeanmidev |
YAML Metadata Warning:The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
YAML Metadata Warning:The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Dataset Card for "tv_dialogue"
This dataset contains transcripts for famous movies and TV shows from multiple sources.
An example dialogue would be:
[PERSON 1] Hello
[PERSON 2] Hello Person 2!
How's it going?
(they are both talking)
[PERSON 1] I like being an example
on Huggingface!
They are examples on Huggingface.
CUT OUT TO ANOTHER SCENCE
We are somewhere else
[PERSON 1 (v.o)] I wonder where we are?
All dialogues were processed to follow this format. Each row is a single episode / movie (2781 rows total) following the OpenAssistant format. The METADATA column contains dditional information as a JSON string.
Dialogue only, with some information on the scene
| Show | Number of scripts | Via | Source |
|---|---|---|---|
| Friends | 236 episodes | https://github.com/emorynlp/character-mining | friends/emorynlp |
| The Office | 186 episodes | https://www.kaggle.com/datasets/nasirkhalid24/the-office-us-complete-dialoguetranscript | office/nasirkhalid24 |
| Marvel Cinematic Universe | 18 movies | https://www.kaggle.com/datasets/pdunton/marvel-cinematic-universe-dialogue | marvel/pdunton |
| Doctor Who | 306 episodes | https://www.kaggle.com/datasets/jeanmidev/doctor-who | drwho/jeanmidev |
| Star Trek | 708 episodes | http://www.chakoteya.net/StarTrek/index.html based on https://github.com/GJBroughton/Star_Trek_Scripts/ | statrek/chakoteya |
Actual transcripts with detailed information on the scenes
| Show | Number of scripts | Via | Source |
|---|---|---|---|
| Top Movies | 919 movies | https://imsdb.com/ | imsdb |
| Top Movies | 171 movies | https://www.dailyscript.com/ | dailyscript |
| Stargate SG-1 | 18 episodes | https://imsdb.com/ | imsdb |
| South Park | 129 episodes | https://imsdb.com/ | imsdb |
| Knight Rider | 80 episodes | http://www.knightriderarchives.com/ | knightriderarchives |
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